World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
84
Citations
24868
World Ranking
3317
National Ranking
1678

Peipei Ping publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Peipei Ping sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 418 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 197 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 60 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 286 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Peipei Ping D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Peipei Ping sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 72 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 84 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Overview

Peipei Ping is affiliated with the University of California, Los Angeles in the United States. Their research spans multiple fields including Biochemistry, Genetics and Molecular Biology, and Medicine. Within these main areas, their subfields of study focus notably on Molecular Biology, Artificial Intelligence, Cardiology and Cardiovascular Medicine, Health Informatics, and Computational Theory and Mathematics.

Their body of work includes publications in several specific topics such as Biomedical Text Mining and Ontologies, Artificial Intelligence in Healthcare and Education, Genetics, Bioinformatics, and Biomedical Research, Topic Modeling, Natural Language Processing Techniques, Computational Drug Discovery Methods, and Advanced Proteomics Techniques and Applications.

Peipei Ping has contributed to various scientific venues. Frequent publication venues include arXiv (Cornell University), Journal of Molecular and Cellular Cardiology Plus, Nature Communications, Proceedings of the AAAI Conference on Artificial Intelligence, and Bioengineering.

Recent publications include:

  • "A high-stringency blueprint of the human proteome" (2020), published in Nature Communications
  • "Reductive Stress Causes Pathological Cardiac Remodeling and Diastolic Dysfunction" (2020), published in Antioxidants and Redox Signaling
  • "Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundation Models" (2024), published in Bioengineering
  • "An Exercise Immune Fitness Test to Unravel Disease Mechanisms-A Proof-of-Concept Heart Failure Study" (2024), published in Journal of Clinical Medicine

Peipei Ping collaborates frequently with several researchers, including Irsyad Adam and Wei Wang, each with whom they have coauthored eight works. Other regular coauthors are Baradwaj Simha Sankar, Alex Bui, and Alexander R. Pelletier, with six and five joint publications respectively.

Best Publications

  • A Membrane Receptor for Retinol Binding Protein Mediates Cellular Uptake of Vitamin A

    Riki Kawaguchi;Jiamei Yu;Jane Honda;Jane Hu

  • The minimum information about a proteomics experiment (MIAPE)

    Chris F. Taylor;Chris F. Taylor;Norman W. Paton;Norman W. Paton;Kathryn S. Lilley;Kathryn S. Lilley;Pierre Alain Binz;Pierre Alain Binz

  • Overview of the HUPO Plasma Proteome Project: results from the pilot phase with 35 collaborating laboratories and multiple analytical groups, generating a core dataset of 3020 proteins and a publicly-available database.

    Gilbert S. Omenn;David J. States;Marcin Adamski;Thomas W. Blackwell

  • Role of the Mitochondrial Permeability Transition in Myocardial Disease

    James N. Weiss;Paavo Korge;Henry M. Honda;Peipei Ping

  • Ischemic Preconditioning Induces Selective Translocation of Protein Kinase C Isoforms ε and η in the Heart of Conscious Rabbits Without Subcellular Redistribution of Total Protein Kinase C Activity

    Peipei Ping;Jun Zhang;Yumin Qiu;Xian-Liang Tang

  • Intracoronary gene transfer of fibroblast growth factor-5 increases blood flow and contractile function in an ischemic region of the heart.

    Giordano Fj;Ping P;McKirnan;Nozaki S

  • The crystal structure of mouse VDAC1 at 2.3 Å resolution reveals mechanistic insights into metabolite gating

    Rachna Ujwal;Duilio Cascio;Jacques-Philippe Colletier;Salem Faham

  • Mitochondrial PKCε and MAPK Form Signaling Modules in the Murine Heart Enhanced Mitochondrial PKCε-MAPK Interactions and Differential MAPK Activation in PKCε-Induced Cardioprotection

    Christopher P. Baines;Jun Zhang;Guang Wu Wang;Yu Ting Zheng

  • Protein Kinase Cε Interacts With and Inhibits the Permeability Transition Pore in Cardiac Mitochondria

    Christopher P. Baines;Chang Xu Song;Yu Ting Zheng;Guang Wu Wang

  • The late phase of ischemic preconditioning is abrogated by targeted disruption of the inducible NO synthase gene

    Yiru Guo;W. Keith Jones;Yu Ting Xuan;Xian Liang Tang

  • Reactome graph database: Efficient access to complex pathway data.

    Antonio Fabregat;Florian Korninger;Guilherme Viteri;Konstantinos Sidiropoulos

  • Guidelines for experimental models of myocardial ischemia and infarction.

    Merry L. Lindsey;Merry L. Lindsey;Roberto Bolli;John M. Canty;Xiao Jun Du

  • A HUPO test sample study reveals common problems in mass spectrometry–based proteomics

    Alexander W. Bell;Eric W. Deutsch;Catherine E. Au;Robert E. Kearney

  • Reactome enhanced pathway visualization.

    Konstantinos Sidiropoulos;Guilherme Viteri;Cristoffer Sevilla;Steven Jupe

  • Isoform-Selective Activation of Protein Kinase C by Nitric Oxide in the Heart of Conscious Rabbits A Signaling Mechanism for Both Nitric Oxide–Induced and Ischemia-Induced Preconditioning

    Peipei Ping;Hitoshi Takano;Jun Zhang;Xian Liang Tang

  • Mitochondrial Function, Biology, and Role in Disease A Scientific Statement From the American Heart Association

    Elizabeth Murphy;Hossein Ardehali;Robert S. Balaban;Fabio DiLisa

  • The nitric oxide hypothesis of late preconditioning.

    R. Bolli;B. Dawn;X.-L. Tang;Y. Qiu

  • Functional recovery in traumatic spinal cord injury after transplantation of multineurotrophin-expressing glial-restricted precursor cells.

    Qilin Cao;Xiao Ming Xu;William H. DeVries;Gaby U. Enzmann

  • p38 Kinase-dependent MAPKAPK-2 activation functions as 3-phosphoinositide-dependent kinase-2 for Akt in human neutrophils.

    Madhavi J. Rane;Patricia Y. Coxon;Dave W. Powell;Rose Webster

  • Transgenic Overexpression of Constitutively Active Protein Kinase C ε Causes Concentric Cardiac Hypertrophy

    Yasuchika Takeishi;Peipei Ping;Roberto Bolli;Darryl L. Kirkpatrick

Frequent Co-Authors

Henning Hermjakob
Henning Hermjakob European Bioinformatics Institute
Roberto Bolli
Roberto Bolli University of Louisville
James N. Weiss
James N. Weiss University of California, Los Angeles
Yibin Wang
Yibin Wang University of California, Los Angeles
John R. Yates
John R. Yates Scripps Research Institute
Aldrin V. Gomes
Aldrin V. Gomes University of California, Davis
Rolf Apweiler
Rolf Apweiler European Bioinformatics Institute
Jennifer E. Van Eyk
Jennifer E. Van Eyk Cedars-Sinai Medical Center
Elaine F. Reed
Elaine F. Reed University of California, Los Angeles
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign

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